Full Stack Engineer / Senior Consultant Specialist

Hsbc

8 - 13 years

20 - 25 Lacs

bengaluru

Posted:17 hours ago| Platform:

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Skills Required

backend front end nosql django machine learning application architecture middleware information technology financial services python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Responsibilities:

Focus on designing, training, and integrating Large Language Models (LLMs) and AI technologies to enhance product capabilities and customer experience, driving innovative solutions and ensuring alignment with the latest advancements in artificial intelligence.
Provide support across the end-to-end delivery and run lifecycle, utilising their skills and expertise to carry out software development, testing and operational support activities with the ability to move between these according to demand
End-to-end accountability for a product or service, identifying and developing the most appropriate Technology solutions to meet customer needs as part of the Customer Journey
Liaise with other engineers, architects and business stakeholders to understand and drive the product or services direction
Create technical test plans and records, including unit and integration tests, within automated test environments to ensure code quality
Provide support to DevOps teams working at all stages of a product or service release/change with a strong customer focus and end-to-end journeys, ensuring they have an excellent domain knowledge
Working with Ops, Dev and Test Engineers to ensure operational issues (performance, operator intervention, alerting, design defect related issues, etc.) are identified and addressed at all stages of a product or service release/change
Provide support in identification and resolution of all incidents associated with the IT service, as directed by leadership of the DevOps team
Ensure service resilience, service sustainability and recovery time objectives are met for all the software solutions delivered
Responsible for automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement
Keep up-to-date and have expertise on current tools, technologies and areas like cyber security and regulations pertaining to aspects like data privacy, consent, data residency etc.

Requirements

Qualifications External

To be successful in this role you should meet the following requirements:

Bachelor s degree in engineering, Information Technology, or a related field (or equivalent experience)
8+ years experience in IT
Full stack software engineering capability including front-end, middleware, backend is a must
Expertise in frontend (React.js), backend, AI/ML model development, MLOps, and DevOps (Docker, CI/CD pipelines, containerization, cloud deployment).
Experience in developing and deploying machine learning models, including data preprocessing, model training, evaluation, and optimization.
Experience with LLM, including training, fine-tuning, optimizing, and deploying models such as GPT, BERT, or other transformer-based architectures.
Strong solutions architecture and engineering hands-on experience with complex enterprise solutions.
Good understanding of design on micro-service and containerization.
Strong experience delivering scalable solutions in finance industry area.
Familiar with cloud platforms, including auto-scaling and global deployments of application architecture, with actual project experience on at least 1 cloud platform (including AWS, GCP and Ali Cloud).
Familiar with over 2 programming language, like Python/Java/ Node.js/Golang and relevant Design Patterns and databases including relational DB and NOSQL DB.
Capability of using and extending common open frameworks (e.g. Spring, Django, Tensor Flow, Pytorch, etc.)
Capability to build up and setup PoC Environment rapidly with Cloud, Container, etc.

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